Improving Estimation of Fiber Orientations in Diffusion MRI Using Inter-Subject Information Sharing.

ABSTRACT: Diffusion magnetic resonance imaging is widely used to investigate diffusion patterns of water molecules in the human brain. It provides information that is useful for tracing axonal bundles and inferring brain connectivity. Diffusion axonal tracing, namely tractography, relies on local directional information provided by the orientation distribution functions (ODFs) estimated at each voxel. To accurately estimate ODFs, data of good signal-to-noise ratio and sufficient angular samples are desired. This is however not always available in practice. In this paper, we propose to improve ODF estimation by using inter-subject image correlation. Specifically, we demonstrate that diffusion-weighted images acquired from different subjects can be transformed to the space of a target subject to drast

SUBMITTER: Chen G 

PROVIDER: S-EPMC5124958 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature